Quantitative evaluation method for the verification of complex mechatronic systems: Development of a realiability-based design process using stochastic Petri Nets: Dissertation

Romain Sibois

Research output: ThesisDissertationCollection of Articles

Abstract

The verification of complex engineering systems from the very early phases of the design process is of primary importance, as it directly influences performance and system functionalities. Traditional design approaches aim at using simulations as a set of tools during the verification process. However, the current trend in the industry is towards simulation-based design processes in an iterative manner so as to constantly evaluate the system development. This perspective conveys the design process towards a verification-based design process. In the very early phases of the design process, evaluating different concepts for further development is not without problems, since a certain amount of product information is missing in the early phases. Therefore, traditional approaches have aimed at considering expert's opinions as the main evaluation criteria for assessing pre-concepts and concept designs. However, qualitative-based methods are highly limited according to expert's subjective judgements, level of expertise, as well as the ability to take into account multidisciplinary criteria in the case of complex systems. This dissertation presents research work related to the verification-driven design process of complex mechatronic systems using a stochastic reliability method for evaluating the concept design from the early phases of the product development. The main objective of this thesis consists in demonstrating the advantages of an innovative system design process based on a quantitative evaluation method using reliability as the main criteria. This thesis reviews the state of the art of the verification and validation process, describes different trends in the system design processes towards simulation-based design processes and reviews the best practices of decision-making processes in the engineering field. The work conducted during this thesis consists of the development and modelling of the verification-driven design approach. The method uses the stochastic Petri Net approach for modelling the operational and functional sequence of the system as well as its dysfunctional behaviour. Reliability parameters of each concept are estimated based on their level of design and thus various concepts can be evaluated against each other. The method is applied to case studies that consist of the development of a Remote Handling system for the maintenance of a fusion reactor called DEMO. The results confirm the benefit of such a method for designing and evaluating the concept design from the very early phases of the system development. The purpose of this research is to maintain the usefulness of the findings for other developments at a larger scale and in other fields than fusion engineering.
Original languageEnglish
QualificationDoctor Degree
Awarding Institution
  • Tampere University of Technology (TUT)
Supervisors/Advisors
  • Huhtala, Kalevi, Supervisor, External person
  • Määttä, Timo, Advisor
  • Muhammad, Ali, Advisor
Award date9 Dec 2016
Place of PublicationEspoo
Publisher
Print ISBNs978-951-38-8473-4
Electronic ISBNs978-951-38-8472-7
Publication statusPublished - 2016
MoE publication typeG5 Doctoral dissertation (article)

Fingerprint

Mechatronics
Random processes
Petri nets
Systems analysis
Fusion reactors
Systems engineering
Product development
Large scale systems
Fusion reactions
Decision making

Keywords

  • verification and validation
  • design process
  • reliability
  • stochastic Petri Net
  • decision making process
  • complex systems
  • fusion engineering

Cite this

@phdthesis{57b212593765486295686a171cb45489,
title = "Quantitative evaluation method for the verification of complex mechatronic systems: Development of a realiability-based design process using stochastic Petri Nets: Dissertation",
abstract = "The verification of complex engineering systems from the very early phases of the design process is of primary importance, as it directly influences performance and system functionalities. Traditional design approaches aim at using simulations as a set of tools during the verification process. However, the current trend in the industry is towards simulation-based design processes in an iterative manner so as to constantly evaluate the system development. This perspective conveys the design process towards a verification-based design process. In the very early phases of the design process, evaluating different concepts for further development is not without problems, since a certain amount of product information is missing in the early phases. Therefore, traditional approaches have aimed at considering expert's opinions as the main evaluation criteria for assessing pre-concepts and concept designs. However, qualitative-based methods are highly limited according to expert's subjective judgements, level of expertise, as well as the ability to take into account multidisciplinary criteria in the case of complex systems. This dissertation presents research work related to the verification-driven design process of complex mechatronic systems using a stochastic reliability method for evaluating the concept design from the early phases of the product development. The main objective of this thesis consists in demonstrating the advantages of an innovative system design process based on a quantitative evaluation method using reliability as the main criteria. This thesis reviews the state of the art of the verification and validation process, describes different trends in the system design processes towards simulation-based design processes and reviews the best practices of decision-making processes in the engineering field. The work conducted during this thesis consists of the development and modelling of the verification-driven design approach. The method uses the stochastic Petri Net approach for modelling the operational and functional sequence of the system as well as its dysfunctional behaviour. Reliability parameters of each concept are estimated based on their level of design and thus various concepts can be evaluated against each other. The method is applied to case studies that consist of the development of a Remote Handling system for the maintenance of a fusion reactor called DEMO. The results confirm the benefit of such a method for designing and evaluating the concept design from the very early phases of the system development. The purpose of this research is to maintain the usefulness of the findings for other developments at a larger scale and in other fields than fusion engineering.",
keywords = "verification and validation, design process, reliability, stochastic Petri Net, decision making process, complex systems, fusion engineering",
author = "Romain Sibois",
note = "BA2707 Dissertation 167 p. + app. 15 p.",
year = "2016",
language = "English",
isbn = "978-951-38-8473-4",
series = "VTT Science",
publisher = "VTT Technical Research Centre of Finland",
number = "140",
address = "Finland",
school = "Tampere University of Technology (TUT)",

}

Quantitative evaluation method for the verification of complex mechatronic systems : Development of a realiability-based design process using stochastic Petri Nets: Dissertation. / Sibois, Romain.

Espoo : VTT Technical Research Centre of Finland, 2016. 182 p.

Research output: ThesisDissertationCollection of Articles

TY - THES

T1 - Quantitative evaluation method for the verification of complex mechatronic systems

T2 - Development of a realiability-based design process using stochastic Petri Nets: Dissertation

AU - Sibois, Romain

N1 - BA2707 Dissertation 167 p. + app. 15 p.

PY - 2016

Y1 - 2016

N2 - The verification of complex engineering systems from the very early phases of the design process is of primary importance, as it directly influences performance and system functionalities. Traditional design approaches aim at using simulations as a set of tools during the verification process. However, the current trend in the industry is towards simulation-based design processes in an iterative manner so as to constantly evaluate the system development. This perspective conveys the design process towards a verification-based design process. In the very early phases of the design process, evaluating different concepts for further development is not without problems, since a certain amount of product information is missing in the early phases. Therefore, traditional approaches have aimed at considering expert's opinions as the main evaluation criteria for assessing pre-concepts and concept designs. However, qualitative-based methods are highly limited according to expert's subjective judgements, level of expertise, as well as the ability to take into account multidisciplinary criteria in the case of complex systems. This dissertation presents research work related to the verification-driven design process of complex mechatronic systems using a stochastic reliability method for evaluating the concept design from the early phases of the product development. The main objective of this thesis consists in demonstrating the advantages of an innovative system design process based on a quantitative evaluation method using reliability as the main criteria. This thesis reviews the state of the art of the verification and validation process, describes different trends in the system design processes towards simulation-based design processes and reviews the best practices of decision-making processes in the engineering field. The work conducted during this thesis consists of the development and modelling of the verification-driven design approach. The method uses the stochastic Petri Net approach for modelling the operational and functional sequence of the system as well as its dysfunctional behaviour. Reliability parameters of each concept are estimated based on their level of design and thus various concepts can be evaluated against each other. The method is applied to case studies that consist of the development of a Remote Handling system for the maintenance of a fusion reactor called DEMO. The results confirm the benefit of such a method for designing and evaluating the concept design from the very early phases of the system development. The purpose of this research is to maintain the usefulness of the findings for other developments at a larger scale and in other fields than fusion engineering.

AB - The verification of complex engineering systems from the very early phases of the design process is of primary importance, as it directly influences performance and system functionalities. Traditional design approaches aim at using simulations as a set of tools during the verification process. However, the current trend in the industry is towards simulation-based design processes in an iterative manner so as to constantly evaluate the system development. This perspective conveys the design process towards a verification-based design process. In the very early phases of the design process, evaluating different concepts for further development is not without problems, since a certain amount of product information is missing in the early phases. Therefore, traditional approaches have aimed at considering expert's opinions as the main evaluation criteria for assessing pre-concepts and concept designs. However, qualitative-based methods are highly limited according to expert's subjective judgements, level of expertise, as well as the ability to take into account multidisciplinary criteria in the case of complex systems. This dissertation presents research work related to the verification-driven design process of complex mechatronic systems using a stochastic reliability method for evaluating the concept design from the early phases of the product development. The main objective of this thesis consists in demonstrating the advantages of an innovative system design process based on a quantitative evaluation method using reliability as the main criteria. This thesis reviews the state of the art of the verification and validation process, describes different trends in the system design processes towards simulation-based design processes and reviews the best practices of decision-making processes in the engineering field. The work conducted during this thesis consists of the development and modelling of the verification-driven design approach. The method uses the stochastic Petri Net approach for modelling the operational and functional sequence of the system as well as its dysfunctional behaviour. Reliability parameters of each concept are estimated based on their level of design and thus various concepts can be evaluated against each other. The method is applied to case studies that consist of the development of a Remote Handling system for the maintenance of a fusion reactor called DEMO. The results confirm the benefit of such a method for designing and evaluating the concept design from the very early phases of the system development. The purpose of this research is to maintain the usefulness of the findings for other developments at a larger scale and in other fields than fusion engineering.

KW - verification and validation

KW - design process

KW - reliability

KW - stochastic Petri Net

KW - decision making process

KW - complex systems

KW - fusion engineering

M3 - Dissertation

SN - 978-951-38-8473-4

T3 - VTT Science

PB - VTT Technical Research Centre of Finland

CY - Espoo

ER -